code: def _urlopen_cached(url, cache):
      """
      Tries to load data from cache location otherwise downloads it. If it
      downloads the data and cache is not None then it will put the downloaded
      data in the cache path.
      """
      from_cache = False
      if cache is not None:
          file_name = url.split("://")[-1].replace("/", ",")
          file_name = file_name.split(".")
          if len(file_name) > 1:
              file_name[-2] += "-v2"
          else:
              file_name[0] += "-v2"
          file_name = ".".join(file_name) + ".zip"
          cache_path = join(cache, file_name)
          try:
              data = _open_cache(cache_path)
              from_cache = True
          except:
              pass
  
      # not using the cache or did not find it in cache
      if not from_cache:
          data = urlopen(url, timeout=3).read()
          if cache is not None:  # then put it in the cache
              _cache_it(data, cache_path)
      return data, from_cache
  
imports: from statsmodels.compat.python import lrange
  from io import StringIO
  from os import environ, makedirs
  from os.path import abspath, dirname, exists, expanduser, join
  import shutil
  from urllib.error import HTTPError, URLError
  from urllib.parse import urljoin
  from urllib.request import urlopen
  import numpy
  from pandas import Index, read_csv, read_stata
label_desc: Use image node_id 7 for calling a global function with example usage: _urlopen_cached(url, cache) and returns: data,  from_cache